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A cooperative deep learning model for stock market prediction using deep autoencoder and sentiment analysis
16 references·0 citing·45 second hopsampled
A cooperative deep learning model for stock market prediction using deep autoencoder and sentiment analysis (2022)A cooperative deep learning model for sto…Forecasting directional movement of Forex data using LSTM with technical and macroeconomic indicators (2021)Forecasting directional movem…A systematic review of stock market prediction using machine learning and statistical techniques (2021)A systematic review of stock …A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)A Comprehensive Comparative S…Stock Price Forecasting with Deep Learning: A Comparative Study (2020)Stock Price Forecasting with …Stock Market Prediction Using LSTM Recurrent Neural Network (2020)Stock Market Prediction Using…Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review (2020)Stock Market Forecasting Usin…Deep Learning for Stock Market Prediction (2020)Deep Learning for Stock Marke…Study on the prediction of stock price based on the associated network model of LSTM (2019)Study on the prediction of st…Stock price prediction based on deep neural networks (2019)Stock price prediction based …Stock market's price movement prediction with LSTM neural networks (2017)Stock market's price movement…Predicting Stock Prices Using LSTM (2017)Predicting Stock Prices Using…A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A deep learning framework for…Stock prediction using deep learning (2016)Stock prediction using deep l…A LSTM-based method for stock returns prediction: A case study of China stock market (2015)A LSTM-based method for stock…Using artificial neural network models in stock market index prediction (2011)Using artificial neural netwo…Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Surveying stock market foreca…Stock market prediction system with modular neural networks (1990)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Deep learning with long short-term memory networks for financial market predictions (2017)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Financial time series forecasting model based on CEEMDAN and LSTM (2018)Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)Textual analysis of stock market prediction using breaking financial news (2009)Twitter mood predicts the stock market (2011)Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Applications of deep learning in stock market prediction: Recent progress (2021)Machine learning techniques and data for stock market forecasting: A literature review (2022)Deep learning for event-driven stock prediction (2015)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)A Random Walk Down Wall Street (1973)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Time series forecasting using a hybrid ARIMA and neural network model (2003)Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)A CNN-BiLSTM-AM method for stock price prediction (2020)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Predicting stock market index using LSTM (2022)Chaos and Nonlinear Dynamics: Application to Financial Markets (1991)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Stock price prediction using deep learning and frequency decomposition (2020)Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges (2023)Book Review: Time Series Analysis: Forecasting and Control (1977)Deep Learning for Finance: Deep Portfolios (2016)Forecasting Economics and Financial Time Series: ARIMA vs. LSTM (2018)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)Stock Price Prediction Using CNN-BiLSTM-Attention Model (2023)TRNN: An efficient time-series recurrent neural network for stock price prediction (2023)Sentiment analysis of Twitter data for predicting stock market movements (2016)Deep learning for financial applications : A survey (2020)Scientometric review and analysis of recent approaches to stock market forecasting: Two decades survey (2022)A new approach to neural network via double hierarchy linguistic information: Application in robot selection (2023)
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References

  • 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,177 cited
  • 2017Stock market's price movement prediction with LSTM neural networks986 cited
  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods861 cited
  • 2011Using artificial neural network models in stock market index prediction796 cited
  • 2021A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting769 cited
  • 2015A LSTM-based method for stock returns prediction: A case study of China stock market740 cited
  • 2020Stock Market Prediction Using LSTM Recurrent Neural Network670 cited
  • 2020Deep Learning for Stock Market Prediction503 cited
  • 2019Stock price prediction based on deep neural networks390 cited
  • 2016Stock prediction using deep learning349 cited
  • 2019Study on the prediction of stock price based on the associated network model of LSTM309 cited
  • 2017Predicting Stock Prices Using LSTM269 cited
  • 2021A systematic review of stock market prediction using machine learning and statistical techniques208 cited
  • 2021Forecasting directional movement of Forex data using LSTM with technical and macroeconomic indicators196 cited

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  • 2020Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review186 cited
  • 2020Stock Price Forecasting with Deep Learning: A Comparative Study183 cited
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